mirror of
https://github.com/kuhyx/WUT_Computer_Science.git
synced 2026-11-11 01:47:07 +01:00
Krzysztof kuhy Rudnicki
bd24dd57ea
kuhy overruled the "do not fix coursework to be better than it was submitted" rule: git history is the archive, so the working tree can be clean. This lands the config and the mechanical half of the cleanup -- 9,281 ruff findings under the fleet config down to 3,686, with no per-file-ignores anywhere. What is in here: - pyproject.toml, the first one in this repo. select = ["ALL"], mypy strict, and the vendored list mirrored into ruff exclude and coverage omit. Five rules are off and each says why; CPY001 is the only judgement call, because stamping a copyright header onto 137 university assignments would assert a licence that was never claimed. No hook is wired up yet -- a gate lands only once its subject is clean. - ruff format + the safe fixes, then a second pass over the docstring rules ruff marks unsafe (they only edit docstring text). 108 files. - TRAK/sightpy is vendored, not coursework: it is rafael-fuente/Python-Raytracer (BSD 3-Clause). Verified against a fresh upstream clone with line endings normalised -- 30 of 32 files byte-identical, ray.py and scene.py carrying a 12- and 13-line local patch that counts rays for the report. 35 files that should never have been linted, now excluded and restored. - WDWR, SPD, MOM and ECRYPT are fully clean, by hand and verified by running them: WDWR's three plot scripts print the same statistics as before, MOM's PuLP model solves to the same cost. WDWR's graph.py had a 342-character CSV header embedded as a string literal, which cannot be wrapped -- the data moved to data/pareto_front.csv. Two 0-byte .py stubs are deleted; an empty file is not a deliverable and git still has it. Three harness bugs found by actually running things: - `run` now forces MPLBACKEND=Agg. TRAK finished its ray trace in 37 seconds and then sat for 45 minutes: plt.show() had opened an image viewer and was waiting for someone to close the window. - TRAK's main.py only pops that viewer with --show now, and its runner writes to a gitignored build/ via the new --entry-args. The default output path is outputs/output.png, which is TRACKED -- a plain run overwrote a submitted deliverable. - course_lib.sh was 357 lines, over this repo's own cap. Split into course_probe.sh and course_run.sh. Verified: ECOTE 26 tests pass, ECRYPT_PROJECT 99 pass, TRAK renders cornell_box in 37s and exits 0, every module compiles, and every import ruff removed was checked to be genuinely unused. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0172dj34FDpao6wsix8ZuCzE
54 lines
1.3 KiB
Python
54 lines
1.3 KiB
Python
import os
|
|
import tempfile
|
|
|
|
import cv2
|
|
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
|
|
|
|
def main():
|
|
# define number of data points
|
|
N = 10
|
|
|
|
# define the visualization params
|
|
colors = np.random.rand(N)
|
|
|
|
with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as f:
|
|
# iterate over the optimization steps
|
|
for i in range(10):
|
|
# generate random 2D data - replace it with the results from your algorithm
|
|
x = np.random.rand(N)
|
|
y = np.random.rand(N)
|
|
|
|
# plot the data
|
|
plt.cla()
|
|
plt.figure()
|
|
plt.scatter(x, y, c=colors, alpha=0.5)
|
|
plt.xlim([0, 1])
|
|
plt.ylim([0, 1])
|
|
plt.savefig(f.name)
|
|
|
|
# read image
|
|
image = cv2.imread(f.name)
|
|
|
|
# show the image, provide window name first
|
|
cv2.imshow("visualization", image)
|
|
|
|
# add wait key. window waits until user presses a key and quits if the key is 'q'
|
|
if cv2.waitKey(0) == 113:
|
|
# and finally destroy/close all open windows
|
|
cv2.destroyAllWindows()
|
|
exit()
|
|
|
|
try:
|
|
f.close()
|
|
os.unlink(f.name)
|
|
except:
|
|
pass
|
|
|
|
cv2.destroyAllWindows()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|